%0 Conference Proceedings
%T An Approach for Integrating Multidimensional Database into Context-Aware Recommender System
%+ Vietnam National University, Ho Chi Minh City / Đại học Quốc gia TP. Hồ Chí Minh (VNU-HCM)
%A Nhat Vinh, Mai
%A Nhat Duy, Nguyen
%A Thi Hoang Vy, Ho
%A Nguyen Hoai Nam, Le
%Z Part 4: Data Analysis and Information Retrieval
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Ho Chi Minh City, Vietnam
%Y Khalid Saeed
%Y Václav Snášel
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8838
%P 231-242
%8 2014-11-05
%D 2014
%R 10.1007/978-3-662-45237-0_23
%K context-aware recommender system
%K rating estimation
%K multidimensional database
%K multidimensional data cube
%K OLAP operation
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Recommender system (RS) suggests useful items to users. Most of existing techniques in RS focus on using a rating matrix of users and items without considering recommendation context. In this paper, we take advantage of multidimensional database to present context information in context-aware RS. Therefore, we exploit the ability of OLAP aggregate operations to estimate user ratings. We propose an approach to translate the concepts of content-based, collaborative filtering and context recommendation into OLAP aggregate operations and integrate them to rating estimation function. Furthermore, through OLAP aggregate operations, our rating estimation function tends to solve the cold-start problem in RS and the data sparsity problem in context-aware RS. We develop a context-aware tour RS with our approach. In this system, we survey related researches to identify context information and user, item information being suitable to tour RS. We evaluate the system by accuracy and performance.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01405590/document
%2 https://inria.hal.science/hal-01405590/file/978-3-662-45237-0_23_Chapter.pdf
%L hal-01405590
%U https://inria.hal.science/hal-01405590
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-LNCS-8838
%~ IFIP-CISIM